Agency Digital Platform, Principal

AIA International Limited; Hong Kong; On-site; HKD 700,000 - 1,000,000; Full time

Job summary

AIA Hong Kong is seeking an experienced AI solution architect and software engineer to drive end-to-end AI initiatives. You will design, build and deploy LLM-powered applications and agentic workflows, delivering reliable, scalable experiences for customers and communities.

You will own major technical decisions, implement best‑in‑class development practices, ensure security and governance, and mentor engineers while translating complex business problems into concrete AI use cases across

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Engineering, or a related discipline.
• Minimum 8 years of relevant experience in software engineering, solution architecture, digital platform delivery, or technology consulting, preferably within regulated industries.
• Proven track record delivering enterprise-scale production systems end-to-end (architecture, development, testing, deployment, security, and governance).
• Experience delivering Generative AI solutions: LLMs, RAG, AI Agents, workflow orchestration, tool/function calling, multi-agent solutions, and enterprise integration.

Responsibilities

• Lead end-to-end AI solution design, architecture and engineering across agentic workflows and RAG solutions.
• Design and implement LLM-powered applications with tool calling, memory, routing and human-in-the-loop controls.
• Build production-ready RAG pipelines with ingestion, embeddings, retrieval, grounding and traceability.
• Ensure interoperability across platforms, APIs, and digital channels; enforce secure production deployments.
• Guide governance, security, and enterprise integration to meet regulatory requirements.

Skills

AI solution architecture

Stakeholder management

Delivery leadership

Customer centricity

Cloud & platform engineering

Security & risk mindset

SDLC & DevOps

Education

Bachelor's or Master's in CS/SE/AI

Tools

Python

React

Java Spring Boot

Azure Cloud

Kubernetes

Jenkins

Terraform

Job description

Innovate and shape what comes next. At AIA, your expertise, perspective and ideas can help us become a faster, simpler and more connected organisation while contributing to our Purpose of helping millions of people live Healthier, Longer, Better Lives. Across our diverse markets, you will take on real‑world challenges, collaborate with talented colleagues and turn technology, data and bold ideas into simpler experiences, smarter solutions and positive outcomes for our customers and communities. Join us to create what comes next, grow through new experiences and extend your impact across Asia.

About the Role

This role contributes to the delivery of customer outcomes that are reliable, thoughtful, and create meaningful impact for customers and society. The role holder is expected to embed a customer first mindset in all decisions and actions by developing a clear understanding of customer needs, taking end to end ownership to resolve issues, and working collaboratively across teams to continuously enhance the customer journey—both directly and indirectly.

Roles and Responsibilities

• Application Delivery, Development, Architecture Design/Implementation (70%)
• AI Solution Architecture & Agentic Engineering Lead end-to-end solution design and clearly explain when to use deterministic software, workflow automation, RAG, an AI agent or multi‑agent approach
• Design and hands‑on implement LLM-powered applications and agentic workflows using tool/function calling, structured outputs, state, memory, routing and human‑in‑the‑loop controls where appropriate
• Build production RAG solutions covering ingestion, chunking, embeddings, vector/hybrid retrieval, metadata filtering, reranking, grounding and traceability
• Ensure seamless interoperability across the AI solutions with existing platforms, workflow engines and digital channels
• Application Delivery, Development & Deployment
• Convert prototypes into secure, scalable and maintainable production services, and personally implement critical/reference components.
• Develop custom workflows using tool-enabled agents
• Establish sound software engineering practices for Python/backend services, APIs, automated testing, error handling, resilience and release management
• Ensure scalability, reliability, and maintainability
• Ensure all deliverables comply with established corporate governance standards and policies, and drive the governance review and approval process through to successful sign‑off.
• Evaluation, Observability & Optimization
• Define measurable acceptance criteria and evaluation datasets
• Build automated evaluation/regression pipelines covering task success, retrieval quality, safety, latency and cost.
• Implement end-to‑end tracing, structured logging and metrics for prompts, retrieval, agent/tool execution, failures, token usage and model performance
• Establish prompt/configuration versioning, release gates, rollback and continuous‑improvement practices using production feedback
• System Support and Technical Advices (30%)
• System Support and BAU Maintenance Provide system support for existing applications as well as and BAU maintenance after project transition
• Ensure all AIA HK TDA project and BAU deliverables are maintained in compliance with AIA Group Security and other standards
• Ensure deliverables and systems comply with all applicable standards and guidelines
• Monitor and ensure the ongoing scalability, reliability, performance, and maintainability of digital platforms and applications
• Perform other responsibilities and duties assigned by managers to meet business objectives
• AI Security, Governance & Enterprise Readiness Control for data privacy, least‑privilege tool access, secrets management, prompt‑injection/data‑exfiltration risks, content safety, auditability and human oversight
• Partner with architecture, cyber security, risk/compliance and data teams to ensure solutions meet enterprise governance and regulatory requirements
• Ensure production readiness for availability, resilience, supportability and operational ownership
• Field-to-Product Feedback Loop Translate business challenges into structured, testable AI use cases and product requirements
• Turn deployment learnings into reusable libraries, modules, reference architectures and engineering standards
• Challenge “AI‑first” approaches when conventional engineering provides a safer, simpler or more effective solution
• Stakeholder Engagement & Enablement Lead technical discovery and explain solution rationale, assumptions, alternatives and trade‑offs to technical and non‑technical stakeholders
• Lead by example through prototyping, coding, debugging, design reviews and code reviews rather than operating solely as an architecture/co‑ordination role
• Guide and mentor engineers on AI patterns, system design, implementation, testing, troubleshooting and production operation

Minimum Job Requirements

• Experience, Qualifications & Certifications Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Engineering, or a related discipline.
• Minimum 8 years of relevant experience in software engineering, solution architecture, digital platform delivery, or technology consulting, preferably within the insurance, financial services, or other highly regulated industries.
• Proven track record in designing, building, and delivering complex enterprise‑scale production systems end‑to‑end, covering architecture, development, testing, deployment, operational support, security, and continuous improvement.
• Practical experience delivering Generative AI solutions, including LLM applications, Retrieval‑Augmented Generation (RAG), AI Agents, workflow orchestration, tool/function calling, multi‑agent solutions, and enterprise system integration.
• Hands‑on experience designing and implementing data pipelines, workflow automation, document ingestion frameworks, API integrations, and event‑driven architectures supporting AI and digital platform capabilities.
• Strong understanding of software engineering best practices, microservices architecture, RESTful API design, cloud‑native development, and enterprise integration patterns.
• Strong experience operating within enterprise governance, security, risk, and compliance frameworks, with demonstrated ability to deliver solutions that meet stringent security, audit, and regulatory requirements.
• Knowledge of the insurance industry, including digital customer servicing, agency platforms, underwriting, policy administration, claims, or distribution ecosystems, is highly desirable.
• Strong experience with Microsoft Azure cloud services and AI capabilities, including Azure AI Foundry, Azure OpenAI Service, Azure AI Search, AKS, and API Management, is highly desirable.
• Technical Competency AI Solution Architecture & Engineering - Proven experience designing, developing, and delivering enterprise‑grade AI solutions leveraging Agentic AI patterns, Retrieval‑Augmented Generation (RAG), Large Language Models (LLMs), workflow orchestration, tool/function calling, memory management, and enterprise system integration.
• Full‑Stack Software Engineering - Strong hands‑on development experience in Python, React, and Java Spring Boot, with the ability to design, build, optimize, and support scalable web and mobile applications in production environments.
• Cloud & Platform Engineering - Strong cloud engineering expertise with modern cloud‑native architecture, platform scalability, resilience, observability, and operational excellence.
• Hands‑on experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service, Azure AI Search, API Management, Azure Kubernetes Service (AKS), Container Apps, and related enterprise platform services.
• Security, DevOps & Enterprise Integration - Experience implementing DevOps and Infrastructure‑as‑Code (IaC) practices using technologies such as Jenkins, Docker, Kubernetes, and Terraform.
• Strong understanding of secure software development lifecycle (SDLC), application security, identity and access management, API security, data protection, workflow automation, and enterprise integration patterns.
• Proven ability to deliver solutions that meet enterprise governance, security, compliance, and audit requirements.
• Behavioural Competency Customer Centricity - Demonstrates a strong commitment to understanding customer needs and delivering innovative, secure, and scalable technology solutions that improve customer experience and create measurable business value.
• Stakeholder Management & Communication - Proven ability to engage, influence, and collaborate effectively with business stakeholders, technology teams, vendors, and senior leadership, translating business objectives into actionable technology solutions.
• Delivery Leadership & Ownership - Self‑motivated and accountable leader who drives initiatives from concept to production, ensuring high‑quality delivery, effective governance, risk management, and successful business outcomes.
• Security & Risk Mindset - Demonstrates a strong security‑first mindset by proactively identifying risks, embedding security and compliance considerations throughout the solution lifecycle, and ensuring deliverables meet enterprise standards for security, privacy, resilience, auditability, and regulatory compliance.
• Others: You are required to obtain the relevant license(s) if your job involves regulated activities.

Additional Notes

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up‑to‑date.

"Better" starts with people who reimagine what is possible and turn ideas into meaningful action.

At AIA, you will contribute in your own way, help shape outcomes that matter and collaborate with colleagues across disciplines, teams, markets and levels. We will support you to broaden your perspective, strengthen your capabilities and grow your impact. Together, we challenge assumptions, learn from one another and find better ways forward. Bring your ambition, experience and ideas to AIA, and help shape what “better” looks like.

View our AIA LinkedIn page

Bring your difference to AIA